{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2a305a33",
   "metadata": {},
   "source": [
    "Visualize your ChatGPT and Claude's usage.\n",
    "\n",
    "This has two scripts:\n",
    "\n",
    "1. **Visualize only ChatGPT usage.**\n",
    "\n",
    "![ChatGPT usage](chatgpt.png)\n",
    "\n",
    "\n",
    "2. **Compare your ChatGPT usage with Claude usage.**\n",
    "It's interesting to see when you start switching from one to another (this visualization is from Chris Alexiuk!)\n",
    "\n",
    "![ChatGPT vs. Claude usage](chatgpt-claude.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f66535c",
   "metadata": {},
   "source": [
    "## 1. Visualize ChatGPT usage\n",
    "1. Export your ChatGPT conversations. From your ChatGPT account, go to Settings -> Data controls -> Export\n",
    "2. Unzip the data export\n",
    "3. Point `convo_folder` to your exported data folder\n",
    "4. Change `local_tz` to your local timezone so that it gets the correct timestamp of each conversation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "bef16296",
   "metadata": {},
   "outputs": [],
   "source": [
    "convo_folder = 'export_chatgpt' # change to where your exported ChatGPT folder is \n",
    "local_tz = 'US/Pacific' # change to your local timezone.\n",
    "# pytz.all_timezones # uncomment to see a list of all supported timezones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f7447d09",
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "\n",
    "with open(f'{convo_folder}/conversations.json', 'r') as f:\n",
    "    oai_convs = json.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "b30fff71",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pytz\n",
    "\n",
    "from datetime import datetime, timezone, timedelta\n",
    "\n",
    "oai_convo_times = []\n",
    "for conv in oai_convs:\n",
    "    # Given Unix timestamp\n",
    "    unix_timestamp = conv['create_time']\n",
    "\n",
    "    # Convert to UTC datetime\n",
    "    utc_datetime = datetime.fromtimestamp(unix_timestamp, tz=timezone.utc)\n",
    "\n",
    "    # Convert UTC datetime to local timezone\n",
    "    pt_datetime = utc_datetime.astimezone(pytz.timezone(local_tz))\n",
    "    oai_convo_times.append(pt_datetime)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0c121446",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.dates as mdates\n",
    "import matplotlib.patches as patches\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "from collections import Counter\n",
    "\n",
    "def create_year_heatmap(convo_times, year):\n",
    "    # Convert convo_times to dates and filter for the given year\n",
    "    just_dates = [convo.date() for convo in convo_times if convo.year == year]\n",
    "\n",
    "    date_counts = Counter(just_dates)\n",
    "\n",
    "    # Create a full year date range for the calendar\n",
    "    start_date = datetime(year, 1, 1).date()\n",
    "    end_date = datetime(year, 12, 31).date()\n",
    "\n",
    "    total_days = (end_date - start_date).days + 1\n",
    "    date_range = [start_date + timedelta(days=i) for i in range(total_days)]\n",
    "\n",
    "    # Prepare data for plotting\n",
    "    data = []\n",
    "    for date in date_range:\n",
    "        week = ((date - start_date).days + start_date.weekday()) // 7\n",
    "        day_of_week = date.weekday()\n",
    "        count = date_counts.get(date, 0)\n",
    "        data.append((week, day_of_week, count))\n",
    "\n",
    "    weeks_in_year = (end_date - start_date).days // 7 + 1\n",
    "\n",
    "    # Plot the heatmap\n",
    "    plt.figure(figsize=(15, 8))\n",
    "    ax = plt.gca()\n",
    "    ax.set_aspect('equal')\n",
    "\n",
    "    max_count_date = max(date_counts, key=date_counts.get)\n",
    "    max_count = date_counts[max_count_date]\n",
    "    p90_count = np.percentile(list(date_counts.values()), 90)\n",
    "    for week, day_of_week, count in data:\n",
    "        color = plt.cm.Greens((count + 1) / p90_count) if count > 0 else 'lightgray'\n",
    "        rect = patches.Rectangle((week, day_of_week), 1, 1, linewidth=0.5, edgecolor='black', facecolor=color)\n",
    "        ax.add_patch(rect)\n",
    "\n",
    "    # Replace week numbers with month names below the heatmap\n",
    "    month_starts = [start_date + timedelta(days=i) for i in range(total_days)\n",
    "                    if (start_date + timedelta(days=i)).day == 1]\n",
    "    for month_start in month_starts:\n",
    "        week = (month_start - start_date).days // 7\n",
    "        plt.text(week + 0.5, 7.75, month_start.strftime('%b'), ha='center', va='center', fontsize=10, rotation=0)\n",
    "\n",
    "    # Adjustments for readability\n",
    "    ax.set_xlim(-0.5, weeks_in_year + 0.5)\n",
    "    ax.set_ylim(-0.5, 8.5)\n",
    "    plt.title(\n",
    "        f'{year} ChatGPT Conversation Heatmap (total={sum(date_counts.values())}).\\nMost active day: {max_count_date} with {max_count} convos.',\n",
    "        fontsize=16\n",
    "    )\n",
    "    plt.xticks([])\n",
    "    plt.yticks(range(7), ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'])\n",
    "    plt.gca().invert_yaxis()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ff30f0cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_year_heatmap(oai_convo_times, 2025)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5a6bcaae",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_year_heatmap(oai_convo_times, 2024)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c5de1c0",
   "metadata": {},
   "source": [
    "## 2. Visualize ChatGPT vs. Claude usage\n",
    "\n",
    "You can optionally add your Claude data as well, through the following step:\n",
    "\n",
    "1. Export your Claude conversations.\n",
    "    - From your Claude account, go to Settings -> Account -> Data -> Export data\n",
    "2. Unzip the downloaded data\n",
    "3. Point `claude_convo_folder` to your exported directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "024dfc4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "claude_convo_folder = ''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e6a2fa6a",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(f'{claude_convo_folder}/conversations.json', 'r') as f:\n",
    "    claude_convs = json.load(f)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "bbdd30bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "def convert_claude_timestamps(convs, local_tz, claude=True):\n",
    "    convo_times = []\n",
    "    for conv in convs:\n",
    "        # Parse ISO format string to datetime\n",
    "        utc_datetime = datetime.strptime(conv['created_at'], \"%Y-%m-%dT%H:%M:%S.%fZ\")\n",
    "\n",
    "        # Add UTC timezone info\n",
    "        utc_datetime = utc_datetime.replace(tzinfo=timezone.utc)\n",
    "\n",
    "        # Convert UTC to local timezone\n",
    "        local_datetime = utc_datetime.astimezone(pytz.timezone(local_tz))\n",
    "        convo_times.append(local_datetime)\n",
    "\n",
    "    return convo_times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b117b6dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "claude_convo_times = convert_claude_timestamps(claude_convs, local_tz)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "1a57909e",
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_comparison_heatmap(claude_times, openai_times, year):\n",
    "    # Convert times to dates and filter for the given year\n",
    "    claude_dates = [convo.date() for convo in claude_times if convo.year == year]\n",
    "    openai_dates = [convo.date() for convo in openai_times if convo.year == year]\n",
    "\n",
    "    claude_counts = Counter(claude_dates)\n",
    "    openai_counts = Counter(openai_dates)\n",
    "\n",
    "    # Calculate totals\n",
    "    claude_total = sum(claude_counts.values())\n",
    "    openai_total = sum(openai_counts.values())\n",
    "    combined_total = claude_total + openai_total\n",
    "\n",
    "    # Create a full year date range\n",
    "    start_date = datetime(year, 1, 1).date()\n",
    "    end_date = datetime(year, 12, 31).date()\n",
    "    total_days = (end_date - start_date).days + 1\n",
    "    date_range = [start_date + timedelta(days=i) for i in range(total_days)]\n",
    "\n",
    "    # Prepare data for plotting - Reverse the day_of_week calculation\n",
    "    data = []\n",
    "    for date in date_range:\n",
    "        week = ((date - start_date).days + start_date.weekday()) // 7\n",
    "        # Reverse the order: 0 (Mon) -> 6, 1 (Tue) -> 5, etc.\n",
    "        day_of_week = 6 - date.weekday()  # This reverses the order\n",
    "        claude_count = claude_counts.get(date, 0)\n",
    "        openai_count = openai_counts.get(date, 0)\n",
    "        dominant_llm = 'claude' if claude_count > openai_count else 'openai' if openai_count > claude_count else 'tie'\n",
    "        count = max(claude_count, openai_count)\n",
    "        data.append((week, day_of_week, count, dominant_llm))\n",
    "\n",
    "    weeks_in_year = (end_date - start_date).days // 7 + 2\n",
    "\n",
    "    # Calculate overall p90 for color scaling\n",
    "    all_counts = list(claude_counts.values()) + list(openai_counts.values())\n",
    "    p90_count = np.percentile(all_counts, 90) if all_counts else 1\n",
    "\n",
    "    # Plot setup\n",
    "    plt.figure(figsize=(20, 8))\n",
    "    ax = plt.gca()\n",
    "    ax.set_aspect('equal')\n",
    "\n",
    "    # Plot rectangles\n",
    "    for week, day_of_week, count, dominant_llm in data:\n",
    "        if count > 0:\n",
    "            # Start at 0.1 (10%) intensity and scale up to 1\n",
    "            intensity = min(0.1 + (count / p90_count * 0.9), 1)\n",
    "            color = plt.cm.Oranges(intensity) if dominant_llm == 'claude' else \\\n",
    "                   plt.cm.Greens(intensity) if dominant_llm == 'openai' else \\\n",
    "                   'lightgray'\n",
    "        else:\n",
    "            color = '#F5F5F5'  # Light gray for empty cells\n",
    "\n",
    "        rect = patches.Rectangle(\n",
    "            (week, day_of_week), 1, 1,\n",
    "            linewidth=1,\n",
    "            edgecolor='black',\n",
    "            facecolor=color\n",
    "        )\n",
    "        ax.add_patch(rect)\n",
    "\n",
    "    # Add month labels\n",
    "    month_starts = [start_date + timedelta(days=i) for i in range(total_days)\n",
    "                   if (start_date + timedelta(days=i)).day == 1]\n",
    "    for month_start in month_starts:\n",
    "        week = (month_start - start_date).days // 7\n",
    "        plt.text(week + 0.5, -0.5, month_start.strftime('%b'),\n",
    "                ha='center', va='top', fontsize=10)\n",
    "\n",
    "    # Find most active days\n",
    "    claude_max_date = max(claude_counts.items(), key=lambda x: x[1]) if claude_counts else (None, 0)\n",
    "    openai_max_date = max(openai_counts.items(), key=lambda x: x[1]) if openai_counts else (None, 0)\n",
    "\n",
    "    # Title and formatting\n",
    "    plt.title(\n",
    "        f'{year} AI Conversation Comparison (Total: {combined_total:,} conversations)\\n'\n",
    "        f'Claude total: {claude_total:,}, max: {claude_max_date[1]} on {claude_max_date[0]}\\n'\n",
    "        f'OpenAI total: {openai_total:,}, max: {openai_max_date[1]} on {openai_max_date[0]}',\n",
    "        fontsize=12, pad=15\n",
    "    )\n",
    "\n",
    "    # Adjust axis limits and labels\n",
    "    plt.xlim(-0.5, weeks_in_year + 0.5)\n",
    "    plt.ylim(-1, 7)\n",
    "    plt.xticks([])\n",
    "\n",
    "    # Set y-ticks at the center of each box (offset by 0.5)\n",
    "    plt.yticks([i + 0.5 for i in range(7)], ['Sun', 'Sat', 'Fri', 'Thu', 'Wed', 'Tue', 'Mon'])\n",
    "\n",
    "    # Adjust y-axis label positioning\n",
    "    ax.yaxis.set_tick_params(pad=10)\n",
    "\n",
    "    # Add legend\n",
    "    legend_elements = [\n",
    "        patches.Patch(facecolor=plt.cm.Oranges(0.7), label='Claude Dominant'),\n",
    "        patches.Patch(facecolor=plt.cm.Greens(0.7), label='OpenAI Dominant'),\n",
    "        patches.Patch(facecolor='lightgray', label='Tie')\n",
    "    ]\n",
    "    plt.legend(handles=legend_elements, loc='center left', bbox_to_anchor=(1.02, 0.5))\n",
    "\n",
    "    plt.tight_layout()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "92ab25e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_comparison_heatmap(claude_convo_times, oai_convo_times, 2025)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "1bb44afc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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CgoIEADFw4ECpTKlUilatWglDQ0O1Mfr2/s/KyhLe3t6icePGauUAhJ6enrhy5YpG3wCI0NBQ6b2VlVW+51hWVpYoWbKk8Pb2Funp6VL5X3/9JQCIcePGafRlwoQJatuoVq2aqF69ep4xVMqUKSO++uqrfOv0799fvPlP4a1btwoAYuLEiWr1OnToIBQKhbh165ZUZmZmpjb2VHIb11FRURrXOdUYfPP4qcre3Ke5SUxMFABEiRIlhLm5uZgxY4YIDw8XzZs3FwDE4sWLpboDBw4Uenp6Ii4uTm0bgYGBAoAYMGBAvrF69eol9PX1xY0bN/Ktl5ycLCwsLETt2rXVjq0Qr8egEB/n+KvOjz///FOtXsuWLYWzs7P0fvXq1UJPT0/t2iCEEIsXLxYAxLFjx6SyvMb84MGDhaWlpXj16lWe+yEjI0O6zqjExsYKIyMjtb6oPvuWL1+usY2goCBRvnx56X1RxiUAYWhoqFZ24cIFAUDMnz9fKivoXH1TxYoVRYsWLQpVl4iIiIiI6J+Id5ITERER0UcTHR2N/v37o27duggKCpLK09PTAeT+bGnV819Vdd4WHx+Pr7/+GhUqVMDIkSPVlh08eBCbNm3K9c7nwnj27Bl2794t3cUMAF999ZU0RXdRvXjxAgBgYWFRqPo7duwAAI27BIcNGwYAGnf7enp6omHDhtJ7Ozs7uLu74/bt21JZ586dkZ2djc2bN0tle/bsQXJysnQnpRACmzZtQps2bSCEQEJCgvRq1qwZnj9/rjEdb1BQkMadqtbW1rhy5Qpu3ryZZx/fXCcjIwMJCQmoU6cOAGjEKKwdO3agVq1aaNCggVRmbm6OPn36IC4uDlevXlWrHxISovZYANU+fHO/vU0bx7Ju3brS+9q1awMAGjdurPZIAlV5bm0dMGCA9Ldq+uWsrCzs27dPKn9z/yclJeH58+do2LBhrvvez88Pnp6eBfT09XH/+++/pTtm33b69GnEx8ejX79+as93btWqFSpVqpTrXex9+/ZVe9+wYcN8j4/Ks2fPULx48QLrvWnHjh3Q19fHoEGD1MqHDRsGIQR27txZ4Dbe3K/Z2dl49uwZXF1dYW1tXeC49vf3hxBCbQr73KimVn/27Bl+++03DB8+HJ06dcL27dvh6emJiRMnSnV79+4NfX19dOrUCcePH0dMTAymTJkizayQ1/UVANatW4dly5Zh2LBhcHNzy7dNe/fuxcuXL/HDDz9oPLtboVAA+DjHv3HjxrC1tUV4eLhUlpSUhL1796rdIb5x40Z4eHigUqVKatc11TT0Bw8eVIuT25i3trYucOpxIyMj6Om9/t8rOTk5ePbsGczNzeHu7v5e17WijMsmTZrAxcVFel+lShVYWlqq7beCztU3FS9evFCPACAiIiIiIvqnYpKciIiIiD6Kx48fo1WrVrCyskJERAT09fWlZaqE0tvPhAVeJ07frPOm1NRUtG7dGi9fvsS2bdvUnlX+6tUrDBo0CN27d5ee+1pU4eHhyM7ORrVq1XDr1i3cunULiYmJqF279jtNuW5paQng9XNgC+POnTvQ09ODq6urWrmDgwOsra1x584dtfI3k6cqxYsXR1JSkvS+atWqqFSpkloyKTw8HLa2tlKi6OnTp0hOTsbSpUthZ2en9lI99zc+Pl4tToUKFTRiT5gwAcnJyahYsSIqV66MESNG4OLFi2p1EhMTMXjwYNjb28PExAR2dnbStp4/f17gPsrNnTt34O7urlHu4eEhLX/T2/tNlVR9c7+9TdvH0srKCgBQtmzZXMvfbquenh6cnZ3VyipWrAgAas/F/uuvv1CnTh0YGxvDxsYGdnZ2WLRoUa77PrdjnJvp06fj8uXLKFu2LGrVqoXx48erJeZUfc3tGFWqVEljXxgbG2tMrf/2uM6PeOt5zQW5c+cOSpUqpfEDiLzGT27S09Mxbtw46dnRtra2sLOzQ3Jy8juP67eprokGBgbo0KGDVK6np4fOnTvj/v37uHv3LoDXCdJ169YhJiYG9evXh6urK37++WfpB0RvXjvfdOTIEfTq1QvNmjXDpEmTCmxTTEwMAMDb2zvPOh/j+BcrVgxfffUVtm3bJn2ObN68GdnZ2WpJ8ps3b+LKlSsa1zXVuVGY61q/fv1QsWJFtGjRAmXKlEHPnj01nvWtVCoxZ84cuLm5qR3/ixcvvtd1rSjjsjCfBwWdq28SQkg/dCAiIiIiIvo3KiZ3A4iIiIjo3+f58+do0aIFkpOTceTIEZQqVUptuaOjIwDg0aNHGus+evQINjY2GneZZ2Vl4csvv8TFixexe/dujaTMqlWrcP36dSxZskQtKQi8TmzGxcWhZMmS0jN5c6NKhNevXz/X5bdv39ZIRObH0tISpUqVwuXLlwu9DoBCJybe/OHBm95OEnbu3BmTJk1CQkICLCws8Mcff6BLly4oVuz1PwdUz7fu1q2b2h3/b6pSpYra+9x+xNCoUSPExMRg27Zt2LNnD3777TfMmTMHixcvRu/evQFAurN1xIgR8PHxgbm5OZRKJZo3b67xnO2PpbD77U1yHct3aWtejhw5grZt26JRo0ZYuHAhHB0dYWBggOXLl2PdunUa9XM7xrnp1KkTGjZsiC1btmDPnj2YMWMGpk2bhs2bN6NFixZFbmdefS6MEiVKFDqZ/iENHDgQy5cvx5AhQ1C3bl1YWVlBoVAgMDDwg41rGxsbGBsbw9raWmMflSxZEsDrH0+okqUdOnRA27ZtceHCBeTk5MDX1xeRkZEA/vcDijdduHABbdu2hbe3NyIiIqTrg7YV9vgHBgZiyZIl2LlzJ9q1a4cNGzagUqVKqFq1qlRHqVSicuXKmD17dq7bePtHKLmN+ZIlS+L8+fPYvXs3du7ciZ07d2L58uXo0aMHVq5cCQCYPHkyxo4di549e+Knn36CjY0N9PT0MGTIkE/qulaUczUpKanAmQSIiIiIiIj+yZgkJyIiIqIPKiMjA23atMGNGzewb9++XKdrLl26NOzs7HD69GmNZSdPnoSPj49amVKpRI8ePbB//35s2LABfn5+GuvdvXsX2dnZuSa4V61ahVWrVmHLli1o165dru2OjY3F8ePHMWDAAI3tK5VKdO/eHevWrcOYMWPy6b2m1q1bY+nSpYiKilKbTjs35cuXh1KpxM2bN6W7BQHgyZMnSE5ORvny5YsUW6Vz584ICwvDpk2bYG9vjxcvXiAwMFBabmdnBwsLC+Tk5KBJkybvFEPFxsYGISEhCAkJQUpKCho1aoTx48ejd+/eSEpKwv79+xEWFoZx48ZJ6+Q2PXtR7mAsX748rl+/rlEeHR0tLf8QPoVjmRelUonbt2+rJT9v3LgBAHBycgIAbNq0CcbGxti9e7faj1CWL1/+3vEdHR3Rr18/9OvXD/Hx8fD19cWkSZPQokULqa/Xr1+XZi9QuX79+gfdF5UqVUJsbGyR1ilfvjz27duHly9fqt21m9v4yWtcRkREICgoCLNmzZLKMjIykJycXKS25EdPTw8+Pj44deoUsrKy1B4ZoJo+++07sA0NDdVm1lBNvf/2eR4TE4PmzZujZMmS2LFjR553mr9NNb335cuXNWZNUPlYx79Ro0ZwdHREeHg4GjRogAMHDmD06NEa7btw4QI+++yz97or2tDQEG3atEGbNm2gVCrRr18/LFmyBGPHjoWrqysiIiIQEBCAZcuWqa2XnJwMW1tb6X1Rr2uFHZdFkd+5qvLq1Svcu3cPbdu2facYRERERERE/wScbp2IiIiIPpicnBx07twZUVFR2LhxY76JxK+++gp//fUX7t27J5Xt378fN27cQMeOHdXqDhw4EOHh4Vi4cCG+/PLLXLcXGBiILVu2aLwAoGXLltiyZYv0POfcqO4iHzlyJDp06KD26tSpE/z8/N5pyvWRI0fCzMwMvXv3xpMnTzSWx8TEYN68eVI7AWg8U111F2SrVq2KHB94PT1v5cqVER4ejvDwcDg6OqJRo0bScn19fXz11VfYtGlTrndKP336tFBxnj17pvbe3Nwcrq6u0nTIqjsd374LOrdnyJuZmQFAoZKMLVu2xMmTJxEVFSWVpaamYunSpXBycirUc7UL41M4lvlZsGCB9LcQAgsWLICBgQE+++wzAK/3v0KhQE5OjlQvLi4OW7dufeeYOTk5GtNJlyxZEqVKlZKOe40aNVCyZEksXrxY7RELO3fuxLVr1z7ovqhbty4uX76c66Mc8tKyZUvk5OSo7T8AmDNnDhQKhVry0MzMLNcxqa+vrzGu58+fr7av85KWlobo6OhCPf+5c+fOyMnJke5gBl4n49euXQtPT0+NWTvedPPmTSxevBitW7dW+zHF48eP8fnnn0NPTw+7d+/WSLTn5/PPP4eFhQWmTJkiPSpDRbU/Ptbx19PTQ4cOHfDnn39i9erVePXqldpU68DrO6cfPHiAX3/9VWP99PR0pKamFhjn7euanp6eNLPGm9e2t4//xo0b8eDBA7Wyol7XCjsuC6Mw56rK1atXkZGRgXr16hUpBhERERER0T8J7yQnIiIiog9m2LBh+OOPP9CmTRskJiZizZo1asu7desm/f3jjz9i48aNCAgIwODBg5GSkoIZM2agcuXK0nOwgddJxoULF6Ju3bowNTXV2Gb79u1hZmaGSpUqoVKlSrm2q0KFCnneQa6ydu1a+Pj4aEy/q9K2bVsMHDgQZ8+eha+vb77bepOLiwvWrVuHzp07w8PDAz169IC3tzeysrJw/PhxbNy4EcHBwQBePz88KCgIS5cuRXJyMvz8/HDy5EmsXLkS7dq1Q0BAQKHjvq1z584YN24cjI2N0atXL+jpqf9edurUqTh48CBq166Nb775Bp6enkhMTMTZs2exb98+JCYmFhjD09MT/v7+qF69OmxsbHD69GlERERgwIABAF5PWd6oUSNMnz4d2dnZKF26NPbs2ZPrnb/Vq1cHAIwePRqBgYEwMDBAmzZtpCTTm3744Qf8/vvvaNGiBQYNGgQbGxusXLkSsbGx2LRpk0Zf39WncixzY2xsjF27diEoKAi1a9fGzp07sX37dvz4449S0rNVq1aYPXs2mjdvjq+//hrx8fH45Zdf4OrqqvHs+MJ6+fIlypQpgw4dOqBq1aowNzfHvn37cOrUKemuagMDA0ybNg0hISHw8/NDly5d8OTJE8ybNw9OTk4YOnToB9sPX3zxBX766SccOnQIn3/+eaHWadOmDQICAjB69GjExcWhatWq2LNnD7Zt24YhQ4ZId0sDr8flvn37MHv2bJQqVQoVKlRA7dq10bp1a6xevRpWVlbw9PREVFQU9u3bhxIlShQY/+TJkwgICEBoaCjGjx+fb91vv/0Wv/32G/r3748bN26gXLlyWL16Ne7cuYM///xTra6npyc6duyIcuXKITY2FosWLYKNjQ0WL16sVq958+a4ffs2Ro4ciaNHj+Lo0aPSMnt7ezRt2jTP9lhaWmLOnDno3bs3atasia+//hrFixfHhQsXkJaWhpUrV37U49+5c2fMnz8foaGhqFy5stqsDQDQvXt3bNiwAX379sXBgwdRv3595OTkIDo6Ghs2bMDu3btRo0aNfGP07t0biYmJaNy4McqUKYM7d+5g/vz58PHxkeK1bt0aEyZMQEhICOrVq4dLly5h7dq1Go/ncHFxgbW1NRYvXgwLCwuYmZmhdu3auT4LvSjjsjAKc66q7N27F6ampvkeeyIiIiIion88QURERET0gfj5+QkAeb7edvnyZfH5558LU1NTYW1tLbp27SoeP36sVicoKCjfbcbGxubbJgCif//++dY5c+aMACDGjh2bZ524uDgBQAwdOlQIIURoaKgAIJ4+fZrvtlVu3LghvvnmG+Hk5CQMDQ2FhYWFqF+/vpg/f77IyMiQ6mVnZ4uwsDBRoUIFYWBgIMqWLStGjRqlVkcIIcqXLy9atWqlEcfPz0/4+flplN+8eVPaZ0ePHs21jU+ePBH9+/cXZcuWFQYGBsLBwUF89tlnYunSpVKdgwcPCgBi48aNGutPnDhR1KpVS1hbWwsTExNRqVIlMWnSJJGVlSXVuX//vmjfvr2wtrYWVlZWomPHjuLhw4cCgAgNDVXb3k8//SRKly4t9PT01I51+fLlRVBQkFrdmJgY0aFDB2FtbS2MjY1FrVq1xF9//aVWJ6+2x8bGCgBi+fLlue6Xt2nrWOY2dlVtnTFjhlQWFBQkzMzMRExMjHQ+2dvbi9DQUJGTk6O2/rJly4Sbm5swMjISlSpVEsuXL5fGckGx31ymOlaZmZlixIgRomrVqsLCwkKYmZmJqlWrioULF2qsFx4eLqpVqyaMjIyEjY2N6Nq1q7h//75aHVVf3pZbG/NSpUoV0atXrzyX9+/fX2NbL1++FEOHDhWlSpUSBgYGws3NTcyYMUMolUq1etHR0aJRo0bCxMREAJDGYVJSkggJCRG2trbC3NxcNGvWTERHR2uMVdUYPHjwoEbZ2+M/L0+ePBFBQUHCxsZGGBkZidq1a4tdu3Zp1AsMDBRly5YVhoaGolSpUqJv377iyZMnGvXyu77mdi3JzR9//CHq1asnTExMhKWlpahVq5b4/fff1ep8jOOvVCpF2bJlBQAxceLEXNuWlZUlpk2bJry8vISRkZEoXry4qF69uggLCxPPnz9X2w+5jfmIiAjx+eefi5IlSwpDQ0NRrlw58e2334pHjx5JdTIyMsSwYcOEo6OjMDExEfXr1xdRUVG5Xo+3bdsmPD09RbFixdSuO0FBQaJ8+fJqdQs7LvNq+5vjryjnau3atUW3bt1y3Z9ERERERET/Fgoh3poTjIiIiIiIiP4xgoODERERgZSUFLmb8klYvXo1+vfvj7t378La2lru5hD9o5w/fx6+vr44e/YsfHx85G4OERERERHRR8NnkhMREREREdG/RteuXVGuXDn88ssvcjeF6B9n6tSp6NChAxPkRERERET0r8dnkhMREREREdG/hp6eHi5fvix3M4j+kdavXy93E4iIiIiIiLSCd5ITEREREREREREREREREZHO4DPJiYiIiIiIiIiIiIiIiIhIZ/BOciIiIiIiIiIiIiIiIiIi0hlMkhMRERERERERERERERERkc5gkpyIiIiI6B/EyckJwcHBssT29/eHv7+/LLE/lhUrVkChUCAuLk7uphARERERERERkZYwSU5ERERE9AmIiYnBt99+C2dnZxgbG8PS0hL169fHvHnzkJ6eLnfzPop169Zh7ty577x+Wloaxo8fj8jIyA/WpveRnZ0NT09PKBQKzJw5U21ZXFwcFApFrq/169er1Q0ODs61XqVKlbTZnU/GqVOnMGDAAHh5ecHMzAzlypVDp06dcOPGjVzrX7t2Dc2bN4e5uTlsbGzQvXt3PH36VMutztu9e/cQFhaGWrVqoXjx4rC1tYW/vz/27duXa/3k5GT06dMHdnZ2MDMzQ0BAAM6ePatW59mzZ5gxYwYaNWoEOzs7WFtbo06dOggPDy+wPZMmTYJCoYC3t3eh+xAeHo5u3brBzc0NCoUi3x/PZGZm4vvvv0epUqVgYmKC2rVrY+/evYWOBQB//PEHfH19YWxsjHLlyiE0NBSvXr3SqHfmzBm0bt0aDg4OMDc3R5UqVfDzzz8jJyenSPGIiIiIiIjo36+Y3A0gIiIiItJ127dvR8eOHWFkZIQePXrA29sbWVlZOHr0KEaMGIErV65g6dKlcjfzg1u3bh0uX76MIUOGvNP6aWlpCAsLA4BP4g73+fPn4+7du/nW6dKlC1q2bKlWVrduXY16RkZG+O2339TKrKys3r+R/0DTpk3DsWPH0LFjR1SpUgWPHz/GggUL4OvrixMnTqgld+/fv49GjRrBysoKkydPRkpKCmbOnIlLly7h5MmTMDQ0lLEnr23btg3Tpk1Du3btEBQUhFevXmHVqlVo2rQp/vvf/yIkJESqq1Qq0apVK1y4cAEjRoyAra0tFi5cCH9/f5w5cwZubm4AgKioKIwePRotW7bEmDFjUKxYMWzatAmBgYG4evWqdJ687f79+5g8eTLMzMyK1IdFixbhzJkzqFmzJp49e5Zv3eDgYERERGDIkCFwc3PDihUr0LJlSxw8eBANGjQoMNbOnTvRrl07+Pv7Y/78+bh06RImTpyI+Ph4LFq0SKp35swZ1KtXD25ubvj+++9hamqKnTt3YvDgwYiJicG8efOK1EciIiIiIiL6d2OSnIiIiIhIRrGxsQgMDET58uVx4MABODo6Ssv69++PW7duYfv27TK2kAojPj4eEyZMwPfff49x48blWc/X1xfdunUrcHvFihUrVD1d8N1332HdunVqCe7OnTujcuXKmDp1KtasWSOVT548GampqThz5gzKlSsHAKhVqxaaNm2KFStWoE+fPlpv/9sCAgJw9+5d2NraSmV9+/aFj48Pxo0bp5Ykj4iIwPHjx7Fx40Z06NABANCpUydUrFgRoaGhWLduHQDAy8sLN2/eRPny5aV1+/XrhyZNmmDatGkYOXJkronw4cOHo06dOsjJyUFCQkKh+7B69WqULl0aenp6+d6BfvLkSaxfvx4zZszA8OHDAUD6IdDIkSNx/PjxAmMNHz4cVapUwZ49e1Cs2Ov/hWFpaYnJkydj8ODB0gwLS5YsAQAcPnwYNjY2AIBvv/0Wfn5+WLFiBZPkREREREREpIbTrRMRERERyWj69OlISUnBsmXL1BLkKq6urhg8eHCe6ycmJmL48OGoXLkyzM3NYWlpiRYtWuDChQtq9fJ69nZkZCQUCoXGlOVLly6Fi4sLTExMUKtWLRw5ciTX+JmZmQgNDYWrqyuMjIxQtmxZjBw5EpmZmfn229/fH9u3b8edO3ek6cSdnJyk5fHx8ejVqxfs7e1hbGyMqlWrYuXKldLyuLg42NnZAQDCwsKkbYwfPx4AcPHiRQQHB0vT1zs4OKBnz54F3vUKAM+fP0d0dDSeP39eYF2VH374Ae7u7oVKbKempiIrK6vAejk5OXjx4kWh25Aff39/eHt74+LFi/Dz84OpqSlcXV0REREBADh06BBq164NExMTuLu7a0z9fefOHfTr1w/u7u4wMTFBiRIl0LFjR7XxJIRAQEAA7OzsEB8fL5VnZWWhcuXKcHFxQWpqqlQeHR1d4J33AFCvXj2NO8Dd3Nzg5eWFa9euqZVv2rQJrVu3lhLkANCkSRNUrFgRGzZsKDBWamoqhg0bhrJly8LIyAju7u6YOXMmhBBq9RQKBQYMGICtW7fC29sbRkZG8PLywq5duwqM4eXlpZYgB17PHNCyZUvcv38fL1++lMojIiJgb2+PL7/8Uiqzs7NDp06dsG3bNuk8q1ChglqCXNXGdu3aITMzE7dv39Zox+HDhxEREfFOjzwoW7Ys9PQK/t8JERER0NfXV/txgrGxMXr16oWoqCjcu3cv3/WvXr2Kq1evok+fPlKCHHj9AwAhhDR+AeDFixcwNjaGtbW12jYcHR1hYmJSyJ4RERERERGRrmCSnIiIiIhIRn/++SecnZ1Rr169d1r/9u3b2Lp1K1q3bo3Zs2djxIgRuHTpEvz8/PDw4cN32uayZcvw7bffwsHBAdOnT0f9+vXRtm1bjYSWUqlE27ZtMXPmTLRp0wbz589Hu3btMGfOHHTu3DnfGKNHj4aPjw9sbW2xevVqrF69WkrWpaenw9/fH6tXr0bXrl0xY8YMWFlZITg4WLob1M7OTppquX379tI2VMnEvXv34vbt2wgJCcH8+fMRGBiI9evXo2XLlhoJz7dt2bIFHh4e2LJlS6H218mTJ7Fy5UrMnTsXCoUi37phYWEwNzeHsbExatasiT179uRaLy0tDZaWlrCysoKNjQ369++PlJSUQrUnL0lJSWjdujVq166N6dOnw8jICIGBgQgPD0dgYCBatmyJqVOnIjU1FR06dFBL1p46dQrHjx9HYGAgfv75Z/Tt2xf79++Hv78/0tLSALxOyv73v/9FRkYG+vbtK60bGhqKK1euYPny5Wp3M3t4eKBHjx7v1BchBJ48eaKWbH7w4AHi4+NRo0YNjfq1atXCuXPnCtxm27ZtMWfOHDRv3hyzZ8+Gu7s7RowYge+++06j/tGjR9GvXz8EBgZi+vTpyMjIwFdffVWoH2Lk5vHjxzA1NYWpqalUdu7cOfj6+mokpGvVqoW0tLQ8n8v+5jYBaCTlc3JyMHDgQPTu3RuVK1d+p/YWxrlz51CxYkVYWlqqldeqVQsAcP78+QLXB6BxTEuVKoUyZcqoHVN/f3+8ePEC3377La5du4Y7d+5g8eLF2Lx5M0aNGvUBekNERERERET/JpxunYiIiIhIJi9evMCDBw/wxRdfvPM2KleujBs3bqgl0bp3745KlSph2bJlGDt2bJG2l52djR9//BE+Pj44ePCgdAevp6cn+vTpg7Jly0p1161bh3379uHQoUNqzxb29vZG3759cfz48TyT/02bNkXp0qWRlJSkcff10qVLce3aNaxZswZdu3YF8Ho6aj8/P4wZMwY9e/aEhYUFOnTogP/85z+oUqWKxjb69euHYcOGqZXVqVMHXbp0wdGjR9GwYcMi7Ze8CCEwcOBAdO7cGXXr1tW4U19FT08Pn3/+Odq3b4/SpUvj9u3bmD17Nlq0aIE//vgDrVq1kuo6Ojpi5MiR8PX1hVKpxK5du7Bw4UJcuHABkZGRanfUFsXDhw+xbt06dOnSBcDrY1CpUiV8/fXXOH78OGrXrg3gdfK6WbNm2LRpE4KDgwEArVq1kqb7VmnTpg3q1q2LTZs2oXv37gBe39E8a9YsfPvtt1i7di1cXV0xY8YMDB48GI0aNXqndudm7dq1ePDgASZMmCCVPXr0CABynZHB0dERiYmJyMzMhJGRUa7b/OOPP3DgwAFMnDgRo0ePBvD6kQcdO3bEvHnzMGDAALi4uEj1r127hqtXr0plAQEBqFq1Kn7//XcMGDCgSP25desWNm/ejI4dO0JfX1+tT7ntN1UfHz58mGeSOzExEb/99hsaNmyosU8WL16MO3fuaMwY8KE9evQoz+MBoMAf8hR0TN9c/5tvvsGVK1ewZMkS/PbbbwAAfX19LFiwQO1HG0REREREREQA7yQnIiIiIpKNaiptCwuLd96GkZGRlCDPycnBs2fPYG5uDnd3d5w9e7bI2zt9+jTi4+PRt29ftSmug4ODYWVlpVZ348aN8PDwQKVKlZCQkCC9GjduDAA4ePDgO/Vpx44dcHBwkJK5AGBgYIBBgwYhJSUFhw4dKnAbb06vnJGRgYSEBNSpUwcACtwvwcHBEEJICeL8rFixApcuXcK0adPyrVeuXDns3r0bffv2RZs2bTB48GCcO3cOdnZ2Gsn8KVOmYOrUqejUqRMCAwOxYsUKTJo0CceOHVObXrqozM3NERgYKL13d3eHtbU1PDw8pAQ5AOnvN6fofnN/Zmdn49mzZ3B1dYW1tbXG/uzTpw+aNWuGgQMHonv37nBxccHkyZM12iOE0JjmvzCio6PRv39/1K1bF0FBQVJ5eno6AOSaBDc2Nlark5sdO3ZAX18fgwYNUisfNmwYhBDYuXOnWnmTJk3UkuZVqlSBpaVlrlOb5yctLQ0dO3aEiYkJpk6dqrYsPT39nfqjVCrRtWtXJCcnY/78+WrLnj17hnHjxmHs2LHSIws+lndt/5vrA3kf0zfX19fXh4uLC5o1a4aVK1ciPDwcbdq0wcCBA7F169b36AURERERERH9GzFJTkREREQkE9UUxG9Oa11USqUSc+bMgZubG4yMjGBraws7OztcvHixSM/UVrlz5w6A1898fpOBgQGcnZ3Vym7evIkrV67Azs5O7VWxYkUAUHsudVHb4ObmpjHFtIeHh1ob85OYmIjBgwfD3t4eJiYmsLOzQ4UKFQDgnfZLbl68eIFRo0ZhxIgRanfYF5aNjQ1CQkJw/fp13L9/P9+6Q4cOhZ6e3nvd+VumTBmN6eCtrKw02q76MURSUpJUlp6ejnHjxknP6laNs+Tk5Fz357Jly5CWloabN29ixYoVH+yZ0I8fP0arVq1gZWUlPe9aRRVD9ZzuN2VkZKjVyc2dO3dQqlQpjR+t5DXu3nzuuUrx4sXV9ltBcnJyEBgYiKtXryIiIgKlSpVSW25iYvJO/Rk4cCB27dqF3377DVWrVlVbNmbMGNjY2GDgwIH5ti0xMRGPHz+WXu9y3hS2/XnFKuiYvtn/qVOnYtq0afj999/Ro0cPdOrUCVu2bEGDBg3Qv39/vHr1qsjtJyIiIiIion8vTrdORERERCQTS0tLlCpVCpcvX37nbUyePBljx45Fz5498dNPP8HGxgZ6enoYMmQIlEqlVC+vZ2Xn5OS8c2ylUonKlStj9uzZuS5/l8Txh9KpUyccP34cI0aMgI+PD8zNzaFUKtG8eXO1/fI+Zs6ciaysLHTu3FmaZl2V7E5KSkJcXBxKlSqldkf+21T7KDExEWXKlMmznomJCUqUKIHExMR3bu+bCeXClL/57PaBAwdi+fLlGDJkCOrWrQsrKysoFAoEBgbmuj8jIyOlxOalS5dQt27dd263yvPnz9GiRQskJyfjyJEjGgll1ZTcqim63/To0SPY2NjkOdX6uyjMfivIN998g7/++gtr166VZmB4k6OjY579AaCxD4DXz71fuHAhpk6dKk2Dr3Lz5k0sXboUc+fOVZuqPCMjA9nZ2YiLi4OlpSVsbGzw5Zdfqs3aEBQUhBUrVhS6b6r2P3jwoMD25xXrzWP69vXk0aNH0rPNAWDhwoVo3LgxzM3N1eq1bdsW3333HeLi4uDq6lqk9hMREREREdG/F5PkREREREQyat26NZYuXYqoqKh3SiRGREQgICAAy5YtUytPTk6Gra2t9L548eJS+Zvevju2fPnyAF4n095M2mVnZyM2NlbtrlQXFxdcuHABn332WZ5J+PzktU758uVx8eJFKJVKtbvJo6Oj1dqY1/pJSUnYv38/wsLCMG7cOKn85s2bRW5jfu7evYukpCR4eXlpLJs8eTImT56Mc+fOwcfHJ89tqKbmLmja65cvXyIhIeGjT4+dl4iICAQFBWHWrFlSWUZGhsZ4Al4nLwcOHIjPP/8choaGGD58OJo1ayYdt3eRkZGBNm3a4MaNG9i3bx88PT016pQuXRp2dnY4ffq0xrKTJ0/mexyA1+Nq3759ePnypdrd5G+Puw9lxIgRWL58OebOnav2aIE3+fj44MiRIxrnwt9//w1TU1Np1gaVX375BePHj8eQIUPw/fffa2zvwYMHUCqVGDRokMa08sDrZ8oPHjwYc+fOxaxZs9Tuis8tIV8QHx8fHDx4EC9evJBmzlC1X7UcQJ6xVMtPnz6tlhB/+PAh7t+/jz59+khlT548yfVHP9nZ2QDAO8mJiIiIiIhIDadbJyIiIiKS0ciRI2FmZobevXvjyZMnGstjYmIwb968PNfX19fXuHN148aNGndvqp6dfPjwYaksJycHS5cuVatXo0YN2NnZYfHixcjKypLKV6xYoZEQ7dSpEx48eIBff/1Vo13p6elITU3Ns90AYGZmlusUzi1btsTjx48RHh4ulb169Qrz58+Hubk5/Pz8AACmpqYANBP/qjt8394vc+fOzbc9Ks+fP0d0dHSB00sPGjQIW7ZsUXstWbIEwOvnmm/ZskWa4v3p06ca6z948AD//e9/UaVKFemO2YyMjFyn3//pp58ghEDz5s0L1YcPLbdxNn/+/FyTkt988w2USiWWLVuGpUuXolixYujVq5fG+tHR0bh7926BsXNyctC5c2dERUVh48aN+f6Y5KuvvsJff/2Fe/fuSWX79+/HjRs30LFjx3zjtGzZEjk5OViwYIFa+Zw5c6BQKNCiRYsC21pYM2bMwMyZM/Hjjz9i8ODBedbr0KEDnjx5gs2bN0tlCQkJ2LhxI9q0aaN2Z3x4eDgGDRqErl275jm7g7e3t8aY3bJlC7y8vFCuXDls2bIFvXr1AgBUr14dTZo0kV65/TChIB06dNC4zmRmZmL58uWoXbu2dHd4XrG8vLxQqVIlLF26VG2sLVq0CAqFAh06dJDKKlasiL179+LZs2dSWU5ODjZs2AALCwu158cTERERERER8U5yIiIiIiIZubi4YN26dejcuTM8PDzQo0cPeHt7IysrC8ePH8fGjRsRHByc5/qtW7fGhAkTEBISgnr16uHSpUtYu3atxvPDvby8UKdOHYwaNQqJiYmwsbHB+vXrNe6uNDAwwMSJE/Htt9+icePG6Ny5M2JjY7F8+XKNbXbv3h0bNmxA3759cfDgQdSvXx85OTmIjo7Ghg0bsHv3btSoUSPPtlevXh3h4eH47rvvULNmTZibm6NNmzbo06cPlixZguDgYJw5cwZOTk6IiIjAsWPHMHfuXOkuXxMTE3h6eiI8PBwVK1aEjY0NvL294e3tjUaNGmH69OnIzs5G6dKlsWfPHsTGxhbqmGzZsgUhISFYvnx5vvve19cXvr6+amWqade9vLzQrl07qXzkyJGIiYnBZ599hlKlSiEuLg5LlixBamqq2o8gHj9+jGrVqqFLly6oVKkSAGD37t3YsWMHmjdvji+++EItnpOTk1rcj6V169ZYvXo1rKys4OnpiaioKOzbtw8lSpRQq7d8+XJs374dK1askKaPnz9/Prp164ZFixahX79+Ul0PDw/4+fkhMjIy39jDhg3DH3/8gTZt2iAxMRFr1qxRW96tWzfp7x9//BEbN25EQEAABg8ejJSUFMyYMQOVK1dGSEhIvnHatGmDgIAAjB49GnFxcahatSr27NmDbdu2YciQIR8sybplyxaMHDkSbm5u8PDw0OhP06ZNYW9vD+B1krlOnToICQnB1atXYWtri4ULFyInJwdhYWHSOidPnkSPHj1QokQJfPbZZ1i7dq3aNuvVqwdnZ2fY2tqqjUsV1Q9IcluWm8OHD0s/uHn69ClSU1MxceJEAECjRo3QqFEjAEDt2rXRsWNHjBo1CvHx8XB1dcXKlSsRFxenMftFXmbMmIG2bdvi888/R2BgIC5fvowFCxagd+/e0vPiAeCHH35At27dULt2bfTp0wcmJib4/fffcebMGUycOBEGBgaFikdEREREREQ6QhARERERkexu3LghvvnmG+Hk5CQMDQ2FhYWFqF+/vpg/f77IyMiQ6pUvX14EBQVJ7zMyMsSwYcOEo6OjMDExEfXr1xdRUVHCz89P+Pn5qcWIiYkRTZo0EUZGRsLe3l78+OOPYu/evQKAOHjwoFrdhQsXigoVKggjIyNRo0YNcfjw4Vy3mZWVJaZNmya8vLyEkZGRKF68uKhevboICwsTz58/z7fPKSkp4uuvvxbW1tYCgChfvry07MmTJyIkJETY2toKQ0NDUblyZbF8+XKNbRw/flxUr15dGBoaCgAiNDRUCCHE/fv3Rfv27YW1tbWwsrISHTt2FA8fPlSrI4QQy5cvFwBEbGysRllu8QoSGxsrAIgZM2aola9bt040atRI2NnZiWLFiglbW1vRvn17cebMGbV6SUlJolu3bsLV1VWYmpoKIyMj4eXlJSZPniyysrI04tna2oo6deoU2C4/Pz/h5eWlUV6+fHnRqlUrjXIAon///mrtUh0Pc3Nz0axZMxEdHa02Hu/duyesrKxEmzZtNLbXvn17YWZmJm7fvq0W4+3xlFfbAeT5etvly5fF559/LkxNTYW1tbXo2rWrePz4cYFxhBDi5cuXYujQoaJUqVLCwMBAuLm5iRkzZgilUpnv/lF5+/zMTWhoaL79eftcTExMFL169RIlSpQQpqamws/PT5w6dUqtjmrM5vUqaCznNT7epQ9vnl9CCJGeni6GDx8uHBwchJGRkahZs6bYtWtXoWMJIcSWLVuEj4+PMDIyEmXKlBFjxozJ9XzYtWuX8PPzU7tuLF68uEixiIiIiIiISDcohHhrzjsiIiIiIiL65F29ehVeXl7466+/0KpVK7mbQ0RERERERET0j8FnkhMREREREf0DHTx4EHXr1mWCnIiIiIiIiIioiHgnORERERERERERERERERER6QzeSU5ERERERERERERERERERDqDSXIiIiIiIiIiIiIiIiIiItIZTJITEREREREREREREREREZHOYJKciIiIiIiIiIiIiIiIiIh0BpPkRERERESk81asWAGFQoG4uDi5m0JERERERERERB8Zk+RERERERDK7cuUKunXrhtKlS8PIyAilSpVC165dceXKFbmblqdr165BoVDA2NgYycnJudbx9/eHt7d3gdtat24d5s6d+85tSUtLw/jx4xEZGfnO23gfSqUSK1asQNu2bVG2bFmYmZnB29sbEydOREZGhlrd9PR09OrVC97e3rCysoK5uTmqVq2KefPmITs7W62uv78/FApFri8DAwNtdvGTsWjRInTs2BHlypWDQqFAcHBwrvUePXqEH374AQEBAbCwsIBCoZBtfOSlKONGZdmyZfDw8ICxsTHc3Nwwf/58jTqbN29G586d4ezsDFNTU7i7u2PYsGF5nqcqMTExMDY2hkKhwOnTpwvdjwcPHqBTp06wtraGpaUlvvjiC9y+fVutzr179xAWFoZatWqhePHisLW1hb+/P/bt21foONevX8fQoUNRr149qZ15/ahl6NCh8PX1hY2NDUxNTeHh4YHx48cjJSWl0PGIiIiIiIjo362Y3A0gIiIiItJlmzdvRpcuXWBjY4NevXqhQoUKiIuLw7JlyxAREYH169ejffv2cjdTw5o1a+Dg4ICkpCRERESgd+/e77ytdevW4fLlyxgyZMg7rZ+WloawsDAArxPL2paWloaQkBDUqVMHffv2RcmSJREVFYXQ0FDs378fBw4cgEKhAPA6SX7lyhW0bNkSTk5O0NPTw/HjxzF06FD8/fffWLdunbTd0aNHa+zX1NRU9O3bF59//rlW+/ipmDZtGl6+fIlatWrh0aNHeda7fv06pk2bBjc3N1SuXBlRUVFabGXhFGXcAMCSJUvQt29ffPXVV/juu+9w5MgRDBo0CGlpafj++++len369EGpUqXQrVs3lCtXDpcuXcKCBQuwY8cOnD17FiYmJrm2Z+jQoShWrBgyMzML3YeUlBQEBATg+fPn+PHHH2FgYIA5c+bAz88P58+fR4kSJQAA27Ztw7Rp09CuXTsEBQXh1atXWLVqFZo2bYr//ve/CAkJKTBWVFQUfv75Z3h6esLDwwPnz5/Ps+6pU6fQsGFDhISEwNjYGOfOncPUqVOxb98+HD58GHp6vF+AiIiIiIhI1zFJTkREREQkk5iYGHTv3h3Ozs44fPgw7OzspGWDBw9Gw4YN0b17d1y8eBHOzs4ytlSdEALr1q3D119/jdjYWKxdu/a9kuT/dIaGhjh27Bjq1asnlX3zzTdwcnKSEp5NmjQBANjY2ODEiRNq6/ft2xdWVlZYsGABZs+eDQcHBwBA06ZNNWKtWbMGANC1a9eP1Z1P2qFDh6S7yM3NzfOsV716dTx79gw2NjaIiIhAx44dtdjKwinKuElPT8fo0aPRqlUrRERESHWVSiV++ukn9OnTB8WLFwcAREREaPxYpHr16ggKCsrzXN29ezd2796NkSNHYuLEiYXuw8KFC3Hz5k2cPHkSNWvWBAC0aNEC3t7emDVrFiZPngwACAgIwN27d2Frayut27dvX/j4+GDcuHGFSpK3bdsWycnJsLCwwMyZM/NNkh89elSjzMXFBcOHD8fJkydRp06dQveRiIiIiIiI/p3482kiIiIiIpnMmDEDaWlpWLp0qVqCHABsbW2xZMkSpKamYvr06VL5+PHjoVAoEB0djU6dOsHS0hIlSpTA4MGDc52iec2aNahevTpMTExgY2ODwMBA3Lt3T62Oalr0q1evIiAgAKampihdurRa3DcdO3YMcXFxCAwMRGBgIA4fPoz79++/0z7w9/fH9u3bcefOHWkqcScnJ2l5fHw8evXqBXt7exgbG6Nq1apYuXKltDwuLk7ad2FhYdI2xo8fDwC4ePEigoOD4ezsDGNjYzg4OKBnz5549uxZgW17/vw5oqOj8fz583zrGRoaqiU6VVQzAFy7dq3AWKo+FzQl9rp162BmZoYvvviiwG3mRjV+bty4gW7dusHKygp2dnYYO3YshBC4d+8evvjiC1haWsLBwQGzZs1SWz8rKwvjxo1D9erVYWVlBTMzMzRs2BAHDx5UqxcaGgo9PT3s379frbxPnz4wNDTEhQsXpLK7d+8iOjq6UO0vX7682t3VebGwsICNjU2htpmXjRs3SueOra0tunXrhgcPHqjVCQ4Ohrm5OR48eIB27drB3NwcdnZ2GD58OHJycvLdflHGzcGDB/Hs2TP069dPrW7//v2RmpqK7du3S2W5zaaQ31jMzs7G4MGDMXjwYLi4uOTb5rdFRESgZs2aUoIcACpVqoTPPvsMGzZskMq8vLzUEuQAYGRkhJYtW+L+/ft4+fJlgbFsbGxgYWFRpPa9qbDnGBEREREREekGJsmJiIiIiGTy559/wsnJCQ0bNsx1eaNGjeDk5KSWAFPp1KkTMjIyMGXKFLRs2RI///wz+vTpo1Zn0qRJ6NGjB9zc3DB79mwMGTIE+/fvR6NGjTQSRUlJSWjevDmqVq2KWbNmoVKlSvj++++xc+dOjdhr166Fi4sLatasiTZt2sDU1BS///77O+2D0aNHw8fHB7a2tli9ejVWr14tPZ88PT0d/v7+WL16Nbp27YoZM2bAysoKwcHBmDdvHgDAzs4OixYtAvA6EajaxpdffgkA2Lt3L27fvo2QkBDMnz8fgYGBWL9+PVq2bAkhRL5t27JlCzw8PLBly5Z36tvjx48BQCM5CLxONickJODevXvYsmULZs6cifLly8PV1TXP7T19+hR79+5Fu3btYGZm9k5tUuncuTOUSiWmTp2K2rVrY+LEiZg7dy6aNm2K0qVLY9q0aXB1dcXw4cNx+PBhab0XL17gt99+g7+/P6ZNm4bx48fj6dOnaNasmdqdvWPGjIGPjw969eolJUB3796NX3/9FePGjUPVqlWluj169ICHh8d79edDW7FiBTp16gR9fX1MmTIF33zzDTZv3owGDRponDs5OTlo1qwZSpQogZkzZ8LPzw+zZs3C0qVL3yl2buPm3LlzAIAaNWqo1a1evTr09PSk5UXZpsrcuXORlJSEMWPGFKmdSqUSFy9e1GgTANSqVQsxMTEFJr8fP34MU1NTmJqaFil2Ybx69QoJCQl4+PAh9uzZgzFjxsDCwgK1atX64LGIiIiIiIjoH0gQEREREZHWJScnCwDiiy++yLde27ZtBQDx4sULIYQQoaGhAoBo27atWr1+/foJAOLChQtCCCHi4uKEvr6+mDRpklq9S5cuiWLFiqmV+/n5CQBi1apVUllmZqZwcHAQX331ldr6WVlZokSJEmL06NFS2ddffy2qVq2q0XY/Pz/h5eWVb/+EEKJVq1aifPnyGuVz584VAMSaNWvU4tetW1eYm5tL++Tp06cCgAgNDdXYRlpamkbZ77//LgCIw4cPS2XLly8XAERsbKxG2fLlywvsQ26aNGkiLC0tRVJSUp5tUL1q1KghLl68mO/25s+fLwCIHTt2vFN7hPjf+OnTp49U9urVK1GmTBmhUCjE1KlTpfKkpCRhYmIigoKC1OpmZmaqbTMpKUnY29uLnj17qpVfunRJGBoait69e4ukpCRRunRpUaNGDZGdna1WTzX+isrMzEytbXnZuHGjACAOHjxYqO1mZWWJkiVLCm9vb5Geni6V//XXXwKAGDdunFQWFBQkAIgJEyaobaNatWqievXqhYr3ttzGTf/+/YW+vn6u9e3s7ERgYGC+2+zVq5fQ19cXN27cUCt/9OiRsLCwEEuWLBFC/G/Mnzp1qsB2qs67t/suhBC//PKLACCio6PzXP/mzZvC2NhYdO/evcBYb5sxY4bG+fq2qKgotXPM3d290GOAiIiIiIiI/v14JzkRERERkQxUd1gWNH2wavmLFy/Uyvv376/2fuDAgQCAHTt2AAA2b94MpVKJTp06ISEhQXo5ODjAzc1NY3psc3NzdOvWTXpvaGiIWrVq4fbt22r1du7ciWfPnqFLly5SWZcuXXDhwgVcuXKlwH4XxY4dO+Dg4KAWy8DAAIMGDUJKSgoOHTpU4DZMTEykvzMyMpCQkCA9j/js2bP5rhscHAwhBIKDg4vc9smTJ2Pfvn2YOnUqrK2tNZYHBARg79692LhxI/r27QsDAwOkpqbmu81169bBzs4u12eVF9Wbz6XW19dHjRo1IIRAr169pHJra2u4u7urjQF9fX0YGhoCeH0ncWJiIl69eoUaNWpo7E9vb2+EhYXht99+Q7NmzZCQkICVK1eiWLFiavUiIyMLvKtfm06fPo34+Hj069cPxsbGUnmrVq1QqVKlXGd26Nu3r9r7hg0bapw7hZHXuElPT5f2+9uMjY2Rnp6e5zbXrVuHZcuWYdiwYXBzc1Nb9v3338PZ2TnX55QXRBXTyMgo1za9WedtaWlp6NixI0xMTDB16tQixy4MT09P7N27F1u3bsXIkSNhZmaGlJSUjxKLiIiIiIiI/nmKFVyFiIiIiIg+NFXyu6DpiPNKpr+d7HJxcYGenh7i4uIAADdv3oQQQqOeioGBgdr7MmXKaDzruXjx4rh48aJa2Zo1a1ChQgUYGRnh1q1bUmxTU1OsXbsWkydPzrc/RXHnzh24ublBT0/9t72qqbnv3LlT4DYSExMRFhaG9evXIz4+Xm1ZQc8af1fh4eEYM2YMevXqhf/85z+51rG3t4e9vT0AoEOHDpg8eTKaNm2KmzdvwsHBQaP+7du3ERUVhQEDBmgkmd9FuXLl1N5bWVnB2NhYYzpuKysrjee3r1y5ErNmzUJ0dDSys7Ol8goVKmjEGTFiBNavX4+TJ09i8uTJ8PT0fO+2f2yqceXu7q6xrFKlSjh69KhambGxMezs7NTKihcvjqSkpCLFzW/cmJiYICsrK9f1MjIy1H4M8qYjR46gV69eaNasGSZNmqS27MSJE1i9ejX279+vcY69KT09XeNccXBwkGJmZmbm2iZVu9+Wk5ODwMBAXL16FTt37kSpUqUKjPUuLC0t0aRJEwDAF198gXXr1uGLL77A2bNn1ab7JyIiIiIiIt3EJDkRERERkQysrKzg6OiokYR+28WLF1G6dGlYWlrmW+/tBLdSqYRCocDOnTuhr6+vUd/c3FztfW51AKjd4fvixQv8+eefyMjIyDX5vm7dOkyaNEmjLXLq1KkTjh8/jhEjRsDHxwfm5uZQKpVo3rw5lErlB4+3d+9e9OjRA61atcLixYsLvV6HDh0wevRobNu2Dd9++63G8nXr1gEAunbt+kHamdvxLswYWLNmDYKDg9GuXTuMGDECJUuWlJ7bHRMTo7Hu7du3cfPmTQDApUuXPkjbPzV57beiKGjcODo6IicnB/Hx8ShZsqRUnpWVhWfPnqklmlUuXLiAtm3bwtvbGxERERo/rhg5ciQaNmyIChUqSD+uSUhIAAA8evQId+/eRbly5RAeHo6QkBC1dYUQsLGxgZGRER49eqQRW1WWW7u++eYb/PXXX1i7di0aN26stiyvWB/Cl19+ie7du2P9+vVMkhMRERERERGT5EREREREcmndujV+/fVXHD16FA0aNNBYfuTIEcTFxeWaNL1586banbu3bt2CUqmEk5MTgNd3dwshUKFCBVSsWPGDtHfz5s3IyMjAokWLNO44vn79OsaMGYNjx47l2pf85JVUL1++PC5evAilUql2p2t0dLS0PL/1k5KSsH//foSFhWHcuHFSuSpp+6H9/fffaN++PWrUqIENGzYU6Y5v1bTUed3dvm7dOri4uEhTxcslIiICzs7O2Lx5s9p+Dw0N1airVCoRHBwMS0tLDBkyBJMnT0aHDh3w5ZdfarPJRaYaV9evX9dI4l6/fl1a/qEUZtz4+PgAeD0VfMuWLaXy06dPQ6lUSstVYmJi0Lx5c5QsWRI7duzQ+FEMANy9exd37tzJdQaAtm3bwsrKCsnJyWjWrBn27t2rUUdPTw+VK1fG6dOnc+2Ts7OzxgwYI0aMwPLlyzF37ly1xyio5BXrQ8jMzIRSqfxoM0gQERERERHRPwuT5EREREREMhkxYgTWrFmDb7/9FocPH0aJEiWkZYmJiejbty9MTU0xYsQIjXV/+eUXfP7559L7+fPnAwBatGgB4PVdk6NGjUJYWBjWrFmjltAUQiAxMVEtXmGsWbMGzs7OGs9fBl4noKZOnYq1a9cWOUluZmaWa+KqZcuW2LNnD8LDw6WE2qtXrzB//nyYm5vDz88PAGBqagoASE5OVltfdYfv23eizp07t1Dtev78OR49egRHR0dYWVnlW/fatWto1aoVnJyc8Ndff+U5/XVCQgJKlCihkdj/7bffAAA1atTQWOfcuXO4du0axo4dW6h2f0xv7lNVH/7++29ERUVpTOE+e/ZsHD9+HH/88QdatWqFyMhI/Oc//0GjRo3UfmRx9+5dpKWloVKlStrrSD5q1KiBkiVLYvHixejZs6f0zO2dO3fi2rVraj+4eF+FHTeNGzeGjY0NFi1apJYkX7RoEUxNTdGqVSup7PHjx/j888+hp6eH3bt3a0wFr7J06VKkpaWplR04cADz58/HzJkzpePh6OgIR0fHXLfRoUMH/PDDDzh9+rQ0dq9fv44DBw5g+PDhanVnzJiBmTNn4scff8TgwYNz3V5+sQorOTkZZmZmGo+UyO8cIyIiIiIiIt3DJDkRERERkUzc3NywcuVKdO3aFZUrV0avXr2kqY+XLVuGhIQE/P7773BxcdFYNzY2Fm3btkXz5s0RFRWFNWvW4Ouvv5amEXZxccHEiRMxatQoxMXFoV27drCwsEBsbCy2bNmCPn36aCSx8vPw4UMcPHgQgwYNynW5kZERmjVrho0bN+Lnn3/WSFDlp3r16ggPD8d3332HmjVrwtzcHG3atEGfPn2wZMkSBAcH48yZM3ByckJERASOHTuGuXPnSnepmpiYwNPTE+Hh4ahYsSJsbGzg7e0Nb29vNGrUCNOnT0d2djZKly6NPXv2IDY2tlDt2rJlC0JCQrB8+XIEBwfnWe/ly5do1qwZkpKSMGLECGzfvl1tuYuLC+rWrQvg9Q8NFi9ejHbt2sHZ2RkvX77E7t27sXfvXrRp00bjzmUAWLt2LYD8p1oPDg7GypUrERsbK80m8DG0bt0amzdvRvv27dGqVSvExsZi8eLF8PT0REpKilRPldQPDg5GmzZtAAArVqyAj48P+vXrhw0bNkh1e/TogUOHDhVqWu0///wTFy5cAABkZ2fj4sWLmDhxIoDXdz9XqVJFqqsqv3LlCgBg9erV0vPEx4wZk2cMAwMDTJs2DSEhIfDz80OXLl3w5MkTzJs3D05OThg6dGih9lVBijJuTExM8NNPP6F///7o2LEjmjVrhiNHjmDNmjWYNGkSbGxspPWaN2+O27dvY+TIkTh69KjaM9Tt7e3RtGlTAFD7kY2K6ocmfn5+hUom9+vXD7/++itatWqF4cOHw8DAALNnz4a9vT2GDRsm1duyZQtGjhwJNzc3eHh4YM2aNWrbadq0Kezt7fON9fz5c+nHQMeOHQMALFiwANbW1rC2tsaAAQMAAJGRkRg0aBA6dOgANzc3ZGVl4ciRI9i8eTNq1KiBbt26FdgvIiIiIiIi0gGCiIiIiIhkdfHiRdGlSxfh6OgoDAwMhIODg+jSpYu4dOmSRt3Q0FABQFy9elV06NBBWFhYiOLFi4sBAwaI9PR0jfqbNm0SDRo0EGZmZsLMzExUqlRJ9O/fX1y/fl2q4+fnJ7y8vDTWDQoKEuXLlxdCCDFr1iwBQOzfvz/PfqxYsUIAENu2bct3u29LSUkRX3/9tbC2thYApJhCCPHkyRMREhIibG1thaGhoahcubJYvny5xjaOHz8uqlevLgwNDQUAERoaKoQQ4v79+6J9+/bC2tpaWFlZiY4dO4qHDx+q1RFCiOXLlwsAIjY2VqMst3hvio2NFQDyfAUFBUl1T506JTp27CjKlSsnjIyMhJmZmfD19RWzZ88W2dnZGtvOyckRpUuXFr6+vvm24auvvhImJiYiKSkp33qq8fP06VO18qCgIGFmZqZR/+1jqFQqxeTJk0X58uWFkZGRqFatmvjrr7/UxsqrV69EzZo1RZkyZURycrLa9ubNmycAiPDwcLUYhf2naVBQUJ77+e3jlN8xKYzw8HBRrVo1YWRkJGxsbETXrl3F/fv3NdqT235T7ef8FGXcqCxdulS4u7sLQ0ND4eLiIubMmSOUSmWh++3n55dvm1Rj/tSpU/nWe9O9e/dEhw4dhKWlpTA3NxetW7cWN2/eVKuj2h95vQ4ePFhgnPz215vXjFu3bokePXoIZ2dnYWJiIoyNjYWXl5cIDQ0VKSkphe4XERERERER/bsphCjEz/WJiIiIiOiTMH78eISFheHp06cazwUn3WVvb48ePXpgxowZcjeFiIiIiIiIiOiTpyd3A4iIiIiIiOjdXblyBenp6fj+++/lbgoRERERERER0T8Cn0lORERERET0D+bl5YUXL17I3QwiIiIiIiIion8M3klOREREREREREREREREREQ6g88kJyIiIiIiIiIiIiIiIiIincE7yYmIiIiIiIiIiIiIiIiISGcwSU5ERERERERERERERERERDqDSXIiIiIiIiIiIiIiIiIiItIZTJITEREREREREREREREREZHOYJKciIiIiIiIiIiIiIiIiIh0BpPkRERERERERERERERERESkM5gkJyIiIiIiIiIiIiIiIiIincEkORERERERERERERERERER6QwmyYmIiIiIiIiIiIiIiIiISGcwSU5ERERERERERERERERERDqDSXIiIiIiIiIiIiIiIiIiItIZTJITEREREREREREREREREZHOYJKciIiIiIiIiIiIiIiIiIh0BpPkRERERERERERERERERESkM4rJ3QBtUSqVePjwISwsLKBQKORuDhEREREREREREREREekoIQRevnyJUqVKQU+P97QSaZvOJMkfPnyIsmXLyt0MIiIiIiIiIiIiIiIiIgDAvXv3UKZMGbmbQaRzdCZJbmFhAeD1xcbS0rLI658/fx5+fn4YPfsHlHcp96Gbl6+/D53EstkrsGDBAri5uWk19oEDBzBt2jTGliE2xxpjazP+NxOD4ejsoNXYl45cwZZFf+rcfv8UznFdvb7oar/ljO3Rty5MSxf9e9f7SLzwCLERF2W/rurqMdfV2HJeX+T8DEfjUoC1kVZj4+5L4HQCr+kyxF4y/ltUdHLUauy9URcxeclmXtN18Jjr2nj7FI63nLF7OwGOxtqd9fHSc4GtjyDvOda5IiqWNNNq7L3RzzB5711Z9jnwv/2uq8e8tb0Ctoba7XdMqhJHEiHreJvoBVTQbmgcTQAW3QZCQ0Ph5OSk1dhRUVFYunQpfg6wgJu1vlZjH7ibhRln0rB0wSy4u7lqNfaeA5GYNG0Olgxoioqli2s19o0HSfh2wV4cOnQIPj4+Wo39vl68eIGyZctK+Ssi0i6dSZKrpli3tLR8pyS5ubk5AMCjijsqVXX/oG0ryJOHTwAAPj4+qFatmlZj379/n7Flis2xxtjajF/B2wkVvJy0GvvZo0QAurffP4VzXFevL7rabzljW7qUgKVzCa3GzkxIAyD/dVVXj7muxpbz+iLnZzjsTICSJlqNjZfZAHhNlyO2r2cF+Ho6azf242cAeE3XxWOua+PtUzjecsauYKaHCmbaTRw+y1ICEPKeY2Ut4VtWu0mR+8kZAOTZ58D/9ruuHvNSxnpa/3HAi2wAUMo63rysFPCy0m6/H2UoAQCenp7w9PTUauzHjx8DAHzsisGnpIFWY99PyQEAVPepCt9qVbQa+979hwAAXxd7+LraazW2ubHh6/+am79T7udTwEcEE8mDDzkgIiIiIiIiIiIiIiIiIiKdwSQ5ERERERERERERERERERHpDCbJiYiIiIiIiIiIiIiIiIhIZzBJTkREREREREREREREREREOoNJciIiIiIiIiIiIiIiIiIi0hlMkhMRERERERERERERERERkc5gkpyIiIiIiIiIiIiIiIiIiHQGk+RERERERERERERERERERKQzipwkDw4OhkKhQN++fTWW9e/fHwqFAsHBwR+ibURERERERERERERERERERB/UO91JXrZsWaxfvx7p6elSWUZGBtatW4dy5cp9sMYRERERERERERERERERERF9SO+UJPf19UXZsmWxefNmqWzz5s0oV64cqlWrJpVlZmZi0KBBKFmyJIyNjdGgQQOcOnVKWh4ZGQmFQoH9+/ejRo0aMDU1Rb169XD9+vX36BIREREREREREREREREREVHu3vmZ5D179sTy5cul9//9738REhKiVmfkyJHYtGkTVq5cibNnz8LV1RXNmjVDYmKiWr3Ro0dj1qxZOH36NIoVK4aePXu+a7OIiIiIiIiIiIiIiIiIiIjy9M5J8m7duuHo0aO4c+cO7ty5g2PHjqFbt27S8tTUVCxatAgzZsxAixYt4OnpiV9//RUmJiZYtmyZ2rYmTZoEPz8/eHp64ocffsDx48eRkZHx7r3C67vYX7x4ofYiIiIiIiIiIiIiIiIiIiLdVuxdV7Szs0OrVq2wYsUKCCHQqlUr2NraSstjYmKQnZ2N+vXrS2UGBgaoVasWrl27pratKlWqSH87OjoCAOLj49/r+eZTpkxBWFjYO69PRERERERERERERERERET/Pu98Jznwesr1FStWYOXKle81RbqBgYH0t0KhAAAolcr3aRpGjRqF58+fS6979+691/aIiIiIiIiIiIiIiIiIiOif772S5M2bN0dWVhays7PRrFkztWUuLi4wNDTEsWPHpLLs7GycOnUKnp6e7xO2UIyMjGBpaan2IiIiIiIiIiIiIiIiIiIi3fbO060DgL6+vjR1ur6+vtoyMzMz/Oc//8GIESNgY2ODcuXKYfr06UhLS0OvXr3eJywREREREREREREREREREdE7ea8kOYB879CeOnUqlEolunfvjpcvX6JGjRrYvXs3ihcv/r5hiYiIiIiIiIiIiIiIiIiIiqzISfIVK1bku3zr1q3S38bGxvj555/x888/51rX398fQgi1Mh8fH40yIiIiIiIiIiIiIiIiIiKiD+G9nklORERERERERERERERERET0T8IkORERERERERERERERERER6QwmyYmIiIiIiIiIiIiIiIiISGcwSU5ERERERERERERERERERDqDSXIiIiIiIiIiIiIiIiIiItIZTJITEREREREREREREREREZHOYJKciIiIiIiIiIiIiIiIiIh0BpPkRERERERERERERERERESkM4rJ3YB/mmP7oxB7M06rMS+cvAQA2LNnD65fv67V2CdOnGBsmWJzrDG2NuOfj7yIBzEPtRr7xpmbAHRvv38K57iuXl90td9yxk44+wCp959rNXZydDwA+a+runrMdTW2nNcXOT/DceclkJip1dh4nAqA13Q5Yu88cg7Rtx9oNfaxc9EAeE3XxWOua+PtUzjecsY+n6zEg3SFVmPfeCkAyHyOXU1A9JNUrcY+djsZgDz7HPjfftfVY34zVYmETO32+26GEoC84+1QvEBMitBq7LOJr/975MgR3L59W6uxz507BwDYcycL15NeaTX2iUfZAIAde/bh2vWbWo197MTfAICdZ2IRfe+ZVmPHxr/Qajwi+vdQCCG0+wklkxcvXsDKygrPnz+HpaVlkdePiopCgwYNoFQqP0LrCkGhAGQ6VHp6erL1W87YCj0FhJL7nLH/3bEBjnU56Oo+19V+M7ZuxQbkHeu6ep7par9lja1QQCnbv08UUMp1vGXtt4zHG4BcV1U5z29A5msbALl6rqcA5Nrtsp5nunqOy3ld1dl+62ZsQJfPM8bWfmw5vzPK+Dmqs8dbD0ePHkXdunVlif+u3jdvRUTvh3eSF5KRkRGUSiWWLVsGd3d3rcbes2cPJkyYAO/BDWFWxkqrsRPOPkDM7+dk7becsfvP7IPSrqW0Gvt85EVsmLtZ1n7/d9UyuFfScuxdexA2Tt7j/dOiUFRwc9Jq7GP7o7BoylJZ+g38r+9tQtvC1slWq7FvRd3CkaWHdW6/fwr7nP3Wnk/h+qKr55jc11U5v0Po6nnGzzLtUe3zVcNawqOMjVZj7zwTi3FrjmHV1IHwcC6t3dhHzmHc/HBZ+71m2UJ4uFfUauwde/Zh7ISpmFlFARdzrYbGoXiBubeELOc38L9zXM793t5RD3aG2r3r8GaqEgcTBH5tagn34vpajb3nThYm/p0q7/VFxtiyXtNlvK7KeY7J+nmiY7HV4uvoZyljaz+2nOeZnJ+jcu5zOT7Lrl+/jl69esHIyEircYnon49J8iJyd3dHtWrVtBpTNQWQWRkrWDqX0Gps1RSpcvZbztilXUuhgpeTVmOrpsuUdZ9Xckc1Xx/txo6W/3hXcHNCpara/RKnmiZUjn4D/+u7rZMtHNwdtBo7IS4BgO7t909hn7Pf2vMpXF909RyT+7oq53cIXT3P+FmmPap97lHGBr6u9lqNrZq60cO5NHw9nbUb+/+nfpa13+4V4VutilZjq6bqdDEHvKy0m6xVTc0qx/kN/O8cl3O/2xkq4Gis3f3+eipgAffi+vApaaDV2KppaWU9z2SMLes1Xc7rqoznmKz91rHYavF19LOUsWWILeN5JuvnqIz7XK5/ixMRvQs9uRtARERERERERERERERERESkLUySExERERERERERERERERGRzmCSnIiIiIiIiIiIiIiIiIiIdAaT5EREREREREREREREREREpDOYJCciIiIiIiIiIiIiIiIiIp3BJDkREREREREREREREREREekMJsmJiIiIiIiIiIiIiIiIiEhnMElOREREREREREREREREREQ6g0lyIiIiIiIiIiIiIiIiIiLSGR8kSa5QKPJ9jR8//kOEISIiIiIiIiIiIiIiIiIiei/FPsRGHj16JP0dHh6OcePG4fr161KZubn5hwhDRERERERERERERERERET0Xj7IneQODg7Sy8rKCgqFQnq/ePFiNGjQQK3+3Llz4eTkpFb222+/wcPDA8bGxqhUqRIWLlz4IZpGREREREREREREREREREQk+SB3kr+vtWvXYty4cViwYAGqVauGc+fO4ZtvvoGZmRmCgoLeaZuZmZnIzMyU3r948eJDNZeIiIiIiIiIiIiIiIiIiP6hPokkeWhoKGbNmoUvv/wSAFChQgVcvXoVS5Yseeck+ZQpUxAWFvYhm0lERERERERERERERERERP9wH2S69feRmpqKmJgY9OrVC+bm5tJr4sSJiImJeeftjho1Cs+fP5de9+7d+4CtJiIiIiIiIiIiIiIiIiKif6KPfie5np4ehBBqZdnZ2dLfKSkpAIBff/0VtWvXVqunr6//znGNjIxgZGT0zusTEREREREREREREREREdG/z0dPktvZ2eHx48cQQkChUAAAzp8/Ly23t7dHqVKlcPv2bXTt2vVjN4eIiIiIiIiIiIiIiIiIiHTYR0+S+/v74+nTp5g+fTo6dOiAXbt2YefOnbC0tJTqhIWFYdCgQbCyskLz5s2RmZmJ06dPIykpCd99993HbiIREREREREREREREREREemIj/5Mcg8PDyxcuBC//PILqlatipMnT2L48OFqdXr37o3ffvsNy5cvR+XKleHn54cVK1agQoUKH7t5RERERERERERERERERESkQz74neTBwcEIDg5WK+vbty/69u2rVvbjjz+qvf/666/x9ddff+jmEBERERERERERERERERERST76neRERERERERERERERERERESfCibJiYiIiIiIiIiIiIiIiIhIZzBJTkREREREREREREREREREOoNJciIiIiIiIiIiIiIiIiIi0hlMkhMRERERERERERERERERkc5gkpyIiIiIiIiIiIiIiIiIiHQGk+RERERERERERERERERERKQzisndgH+aPXv24Pr161qNeeLECQBAwtkHSL3/XKuxk6PjAcjbbzljn4+8iAcxD7Ua+8aZmwBk3ue79uB6tJZjH5f/eB/bH4XYm3FajX3h5CUA8vQb+F/fb0XdQkJcglZj3790D4Du7fdPYZ+z39rzKVxfdPUck/u6Kud3CF09z/hZpj2qfb7zTCyi7z3Tauxj116fVzuPnEP07QfajX0u+nVsGfu9Y88+XLt+U7uxT/wNADgULxCTIrQa+2zi6//KcX4D/zvH5dzvN1OVSMhUaDX23QwlAGDPnSxcT3ql1dgnHmUDkPn6ImNsWa/pMl5X5TzHZP080bHYavF19LOUsbUfW87zTM7PUTn3uRz/DpcjJhH9OyiEENr9V65MXrx4ASsrKzx//hyWlpZFXj8qKgoNGjSAUqn8CK0rmEJPAaGU51Dp6enJ1m85Y+vqPpez31AAkCm0ro5zueMzNmPrQmwoFIBMX7d09fNE1s8y6O5409VjrqengFIHvzPqKQC5TjN5P0909HjraOzX8WU85jKeZzL+00zW2Lo61nU3Nq/pssTX0Wubzn5vUyiglOvfw3L2G4BcZ5muXl9MTU1x7do1lCtXTpb47+p981ZE9H54J3khGRkZQalU4qdFoajg5qTV2Mf2R2HRlKVoE9oWtk62Wo19K+oWjiw9LGu/5Yzdf2YflHYtpdXY5yMvYsPczVi2bBnc3d21GnvPnj2YMGGCrP22/7oyDEqaaTV2WnQCEnfd0rlx/mZ8OcebnLHlPObc59rzKXyeeA9uCLMyVlqNnXD2AWJ+P6eznydyfG8C/vfd6b+rlsG9kpb3+649CBs3QdbxpmvHXHW8V00dCA/n0lqNvfPIOYybHy7rtW1Vdw942Gv3e9vOqwkYtyNO3n7LeLynTJkCZ2dnrcY+cuQIFixYoHPfXd6ML+cxl/M86+esQGkT7d7Ffj5ZiY0PIGNsJdYsWwgP94pajb1jzz6MnTCVsWWILef5rWv7/M34vza1hHtxfa3G3nMnCxP/TkV7Rz3YGWr3+nIzVYmDCfJeX+T8PFk1rCU8ythoN/aZWIxbc0zWsTazigIu5loNjUPxAnNvKWX57nT9+nX06tULa9asgYeHh1ZjA4Ctre0/LkFORPJjkryIKrg5oVJV7X7AqKZutHWyhYO7g1Zjq6a0k7PfcsYu7VoKFbyctBpbNTWru7s7qlWrptXYqqlp5Oy3QUkzGJfR7q/msuJTAejeOH8zvpzjTc7Ych5z7nPt+RQ+T8zKWMHSuYRWY6se0aKrnydyfG8C/vfdyb2SO6r5+mg1tupRKXKON1075qrj7eFcGr6e2k1cqqaNlPPa5mFvBt+yFlqNHf1E/u9tch5vZ2dneHp6ajX27du3Aejed5c348t5zOU8z0qbKFDBTLuJpAfpr+/zlDO2h3tF+FarotXYqilxGVuG2HKe3zq2z9+M715cHz4lDbQaWzXttZ2hAo7G2r2+vH5shszXFxk/TzzK2MDX1V67sf9/On85x5qLOeBlpd2xpno0jlzfnQDAw8MDvr6+ssQmIioqPbkbQEREREREREREREREREREpC1MkhMRERERERERERERERERkc5gkpyIiIiIiIiIiIiIiIiIiHQGk+RERERERERERERERERERKQzmCQnIiIiIiIiIiIiIiIiIiKdwSQ5ERERERERERERERERERHpDCbJiYiIiIiIiIiIiIiIiIhIZzBJTkREREREREREREREREREOuOTS5JHRkZCoVAgOTlZ7qYQEREREREREREREREREdG/TKGT5IsXL4aFhQVevXollaWkpMDAwAD+/v5qdVWJ7piYmA/WUCIiIiIiIiIiIiIiIiIiovdV6CR5QEAAUlJScPr0aansyJEjcHBwwN9//42MjAyp/ODBgyhXrhxcXFw+bGuJiIiIiIiIiIiIiIiIiIjeQ6GT5O7u7nB0dERkZKRUFhkZiS+++AIVKlTAiRMn1MoDAgKgVCoxZcoUVKhQASYmJqhatSoiIiLUtrtjxw5UrFgRJiYmCAgIQFxc3Ht3ioiIiIiIiIiIiIiIiIiIKDdFeiZ5QEAADh48KL0/ePAg/P394efnJ5Wnp6fj77//RkBAAKZMmYJVq1Zh8eLFuHLlCoYOHYpu3brh0KFDAIB79+7hyy+/RJs2bXD+/Hn07t0bP/zwwwfpWGZmJl68eKH2IiIiIiIiIiIiIiIiIiIi3VasKJUDAgIwZMgQvHr1Cunp6Th37hz8/PyQnZ2NxYsXAwCioqKQmZkJf39/eHp6Yt++fahbty4AwNnZGUePHsWSJUvg5+eHRYsWwcXFBbNmzQLw+m71S5cuYdq0ae/dsSlTpiAsLOy9t0NERERERERERERERERERP8eRUqS+/v7IzU1FadOnUJSUhIqVqwIOzs7+Pn5ISQkBBkZGYiMjISzszNSUlKQlpaGpk2bqm0jKysL1apVAwBcu3YNtWvXVluuSqi/r1GjRuG7776T3r948QJly5b9INsmIiIiIiIiIiIiIiIiIqJ/piIlyV1dXVGmTBkcPHgQSUlJ8PPzAwCUKlUKZcuWxfHjx3Hw4EE0btwYKSkpAIDt27ejdOnSatsxMjL6QM3Pm5GRkVbiEBERERERERERERERERHRP0eRkuTA6ynXIyMjkZSUhBEjRkjljRo1ws6dO3Hy5En85z//gaenJ4yMjHD37l0pmf42Dw8P/PHHH2plJ06cKGqTiIiIiIiIiIiIiIiIiIiICuWdkuT9+/dHdna2WvLbz88PAwYMQFZWFgICAmBhYYHhw4dj6NChUCqVaNCgAZ4/f45jx47B0tISQUFB6Nu3L2bNmoURI0agd+/eOHPmDFasWPEh+0dERERERERERERERERERCTRK+oKAQEBSE9Ph6urK+zt7aVyPz8/vHz5Eu7u7nB0dAQA/PTTTxg7diymTJkCDw8PNG/eHNu3b0eFChUAAOXKlcOmTZuwdetWVK1aFYsXL8bkyZM/UNeIiIiIiIiIiIiIiIiIiIjUFflOcicnJwghNMrLly+vUa5QKDB48GAMHjw4z+21bt0arVu3VisLCQkparOIiIiIiIiIiIiIiIiIiIgKVOQ7yYmIiIiIiIiIiIiIiIiIiP6pmCQnIiIiIiIiIiIiIiIiIiKdwSQ5ERERERERERERERERERHpDCbJiYiIiIiIiIiIiIiIiIhIZzBJTkREREREREREREREREREOqOY3A0gIiIiIiIiIiIiIiIiok9XTk4OsrOz5W4GUZ4MDAygr69f6PpMkhMRERERERERERERERGRBiEEHj9+jOTkZLmbQlQga2trODg4QKFQFFiXSXIiIiIiIiIiIiIiIiIi0qBKkJcsWRKmpqaFSj4SaZsQAmlpaYiPjwcAODo6FrgOk+RFdGx/FGJvxmk15oWTlwAAt6JuISEuQaux71+6B0DefssZ+3zkRTyIeajV2DfO3AQA7NmzB9evX9dq7BMnTgCQt99p0QnIik/VauyM2CQAujfO34wv53iTM7acx5z7XHs+hc+ThLMPkHr/uVZjJ0e//kKoq58ncnxvAv733WnPrj24Hq3l/X789X6Xc7zp2jFXHe+dR84h+vYDrcY+di769X9lvLbtvJqA6Cfa/d527Hby6//K2W8Zj/eRI0dw+/ZtrcY+d+4cAN377vJmfDmPuZzn2flkJR6ka/d/gN54KWSPvWPPPly7flOrsY+d+JuxZYot5/mta/v8zfh77mThetIrrcY+8ej19MA3U5VIyNTu9eVuhhKAzGNdxs+TnWdiEX3vmXZjX3v9bxI5x9qheIGYFKHV2GcTX/9Xju9Od+7c0Wo80p6cnBwpQV6iRAm5m0OULxMTEwBAfHw8SpYsWeDU6wohhHav1DJ58eIFrKys8Pz5c1haWhZ5/aioKNRvUB9CKc/uUugpZIutp6cHpVKpc7G5zxlbF2LLHV9Xz3Fdvb6w39rHfstDzr5DAUCm0Lr6eQKFApDpn1S6us/1FAoo5drncsaWdZ8Dcl3W5Iz9Or6cx1wBpWyfpXLG5ljXqdiyfpbJN85l/Mom/3WV/0aRIbaM13QAcv3LTGe/t8n8GX706FHUrVtXlvj/RO+bt9KGjIwMxMbGwsnJSUpAEn3K0tPTERcXhwoVKsDY2DjfuryTvJCMjIwglAJtQtvC1slWq7FvRd3CkaWHZY3906JQVHBz0mrsY/ujsGjKUlljy7nPly1bBnd3d63G3rNnDyZMmCBrbF0da3LEfjO+rh7z/jP7oLRrKa3GPh95ERvmbpY1tpzHm/3WHl3vt9zXVTm/Q9h/XRkGJc20GjstOgGJu27p7PcX78ENYVbGSquxE84+QMzv53R2n68a1hIeZWy0GnvnmViMW3NM1tiy7vPuHvCw1+61ZefVBIzbESdLbLX4co63qQPh4Vxau7GPnMO4+eGyxpZzrP/a1BLuxfO/4+SDx76ThYl/p8p6nsnZb1mvbTKO837OCpQ20e4dzeeTldj4ALJfV+U85nJ+T1+zbCE83CtqNfaOPfswdsJUWcf6zCoKuJhrNTQOxQvMvSVk/QyfMmUKnJ2dtRr7yJEjWLBggSzH+9rtB+jxw3wYGRlpNS5pD6dYp3+KooxVJsmLyNbJFg7uDlqNqZo2Us7YFdycUKmqdr+8qqZPlDO2nPvc3d0d1apV02ps1TQ8csbW1bEmR+w34+vqMS/tWgoVvJy0Gls1DbGcseU83uy39uh6v+W+rsr5HcKgpBmMy2j3F+iqR6Xo6vcXszJWsHTW7rRzqin1dXWfe5Sxga+rvVZjq6YJlTO2rPvc3gy+ZS20Gls1LawcsdXiyznenEvD11O7/4NdNfW0nLFlvbYV14dPSQPtxv7/qYDlPM/k7Les1zYZx3lpEwUqmGk34fD6MQZC9uuqnMdczu/pHu4V4VutilZjq6Z3l3Osu5gDXlbaHeuqac7l/Ax3dnaGp6enVmOrHssjx/EmIvon0pO7AURERERERERERERERERE2qZQKLB169aPHsff3x9Dhgz56HE+psjISCgUCiQnJ8vdlA+Cd5ITERERERERERERERERUaHd66S9Z5SX3ZD+Tus9fvwYkyZNwvbt2/HgwQOULFkSPj4+GDJkCD777LMP3MqPz8nJCXfu3AEAGBsbw97eHrVq1ULfvn3RuHHjjx6/Xr16ePToEaystPvIucjISAQEBCApKQnW1tYfbLu8k5yIiIiIiIiIiIiIiIiI/jXi4uJQvXp1HDhwADNmzMClS5ewa9cuBAQEoH///nI3751NmDABjx49wvXr17Fq1SpYW1ujSZMmmDRp0kePbWhoCAcHh3/NM+qZJCciIiIiIiIiIiIiIiKif41+/fpBoVDg5MmT+Oqrr1CxYkV4eXnhu+++w4kTJ/Jc7/vvv0fFihVhamoKZ2dnjB07FtnZ2dLy4OBgtGvXTm2dIUOGwN/fX3qfmpqKHj16wNzcHI6Ojpg1a5ZGnMzMTAwfPhylS5eGmZkZateujcjIyAL7ZWFhAQcHB5QrVw6NGjXC0qVLMXbsWIwbNw7Xr1+X6h06dAi1atWCkZERHB0d8cMPP+DVq1fScn9/fwwcOBBDhgxB8eLFYW9vj19//RWpqakICQmBhYUFXF1dsXPnTmmdt6dbX7FiBaytrbF79254eHjA3NwczZs3x6NHj6R1Tp06haZNm8LW1hZWVlbw8/PD2bNn1fqkUCjw22+/oX379jA1NYWbmxv++OMPAK9/7BAQEAAAKF68OBQKBYKDgwvcT4XBJDkRERERERERERERERER/SskJiZi165d6N+/P8zMzDSW5zdlt4WFBVasWIGrV69i3rx5+PXXXzFnzpwixR8xYgQOHTqEbdu2Yc+ePYiMjNRIDA8YMABRUVFYv349Ll68iI4dO6J58+a4efNmkWIBwODBgyGEwLZt2wAADx48QMuWLVGzZk1cuHABixYtwrJlyzBx4kS19VauXAlbW1ucPHkSAwcOxH/+8x907NgR9erVw9mzZ/H555+je/fuSEtLyzN2WloaZs6cidWrV+Pw4cO4e/cuhg8fLi1/+fIlgoKCcPToUZw4cQJubm5o2bIlXr58qbadsLAwdOrUCRcvXkTLli3RtWtXJCYmomzZsti0aRMA4Pr163j06BHmzZtX5H2UGybJiYiIiIiIiIiIiIiIiOhf4datWxBCoFKlSkVed8yYMahXrx6cnJzQpk0bDB8+HBs2bCj0+ikpKVi2bBlmzpyJzz77DJUrV8bKlSvV7uK+e/culi9fjo0bN6Jhw4ZwcXHB8OHD0aBBAyxfvrzIbbaxsUHJkiURFxcHAFi4cCHKli2LBQsWoFKlSmjXrh3CwsIwa9YsKJVKab2qVatizJgxcHNzw6hRo2BsbAxbW1t88803cHNzw7hx4/Ds2TNcvHgxz9jZ2dlYvHgxatSoAV9fXwwYMAD79++Xljdu3BjdunVDpUqV4OHhgaVLlyItLQ2HDh1S205wcDC6dOkCV1dXTJ48GSkpKTh58iT09fVhY2MDAChZsiQcHBw+2DPRi32QrRARERERERERERERERERyUwI8c7rhoeH4+eff0ZMTAxSUlLw6tUrWFpaFnr9mJgYZGVloXbt2lKZjY0N3N3dpfeXLl1CTk4OKlasqLZuZmYmSpQo8U7tFkJIzwq/du0a6tatq/bs8Pr16yMlJQX3799HuXLlAABVqlSRluvr66NEiRKoXLmyVGZvbw8AiI+PzzOuqakpXFxcpPeOjo5q9Z88eYIxY8YgMjIS8fHxyMnJQVpaGu7evau2nTfbYmZmBktLy3zjfggfNUkeGRmJgIAAJCUl5Tt1ARERERERERERERERERHR+3Jzc4NCoUB0dHSR1ouKikLXrl0RFhaGZs2awcrKCuvXr1d7prienp5GEv7NZ5YXRkpKCvT19XHmzBno6+urLTM3Ny/StgDg2bNnePr0KSpUqFCk9QwMDNTeKxQKtTJVkv3Nu88Ls403909QUBCePXuGefPmoXz58jAyMkLdunWRlZVV4Hbyi/shvPN06wqFIt/X+PHjP2AziYiIiIiIiIiIiIiIiIjyZ2Njg2bNmuGXX35BamqqxvLk5ORc1zt+/DjKly+P0aNHo0aNGnBzc8OdO3fU6tjZ2eHRo0dqZefPn5f+dnFxgYGBAf7++2+pLCkpCTdu3JDeV6tWDTk5OYiPj4erq6vay8HBocj9nTdvHvT09NCuXTsAgIeHB6KiotSS1ceOHYOFhQXKlClT5O2/j2PHjmHQoEFo2bIlvLy8YGRkhISEhCJtw9DQEACQk5PzQdv2zknyR48eSa+5c+fC0tJSrezNh7ITEREREREREREREREREWnDL7/8gpycHNSqVQubNm3CzZs3ce3aNfz888+oW7duruu4ubnh7t27WL9+PWJiYvDzzz9jy5YtanUaN26M06dPY9WqVbh58yZCQ0Nx+fJlabm5uTl69eqFESNG4MCBA7h8+TKCg4Ohp/e/lGzFihXRtWtX9OjRA5s3b0ZsbCxOnjyJKVOmYPv27fn26+XLl3j8+DHu3buHw4cPo0+fPpg4cSImTZoEV1dXAEC/fv1w7949DBw4ENHR0di2bRtCQ0Px3XffqbVDG9zc3LB69Wpcu3YNf//9N7p27QoTE5MibaN8+fJQKBT466+/8PTpU6SkpHyQtr3znnBwcJBeVlZWUCgUamVvTgdw5swZ1KhRA6ampqhXrx6uX78uLQsODpZ+2aAyZMgQ+Pv7v2vTiIiIiIiIiIiIiIiIiEhHOTs74+zZswgICMCwYcPg7e2Npk2bYv/+/Vi0aFGu67Rt2xZDhw7FgAED4OPjg+PHj2Ps2LFqdZo1a4axY8di5MiRqFmzJl6+fIkePXqo1ZkxYwYaNmyINm3aoEmTJmjQoAGqV6+uVmf58uXo0aMHhg0bBnd3d7Rr1w6nTp2Snheel3HjxsHR0RGurq7o3r07nj9/jv379+P777+X6pQuXRo7duzAyZMnUbVqVfTt2xe9evXCmDFjirILP4hly5YhKSkJvr6+6N69OwYNGoSSJUsWaRulS5dGWFgYfvjhB9jb22PAgAEfpG0f9ZnkKqNHj8asWbNgZ2eHvn37omfPnjh27NhHjZmZmYnMzEzp/YsXLz5qPCIiIiIiIiIiIiIiIiJdUHZDutxNKJCjoyMWLFiABQsW5Fnn7eeLT58+HdOnT1crGzJkiNr7sLAwhIWF5blNc3NzrF69GqtXr5bKRowYoVbHwMCgwO28LS4urtB1/fz8cPLkyTyXR0ZGFmr7b+4ff39/tffBwcEIDg5Wq9+uXTu1OtWqVcOpU6fU6nTo0CHPGCpvT4k/duxYjR8svC+t3FM/adIk+Pn5wdPTEz/88AOOHz+OjIyMjxpzypQpsLKykl5ly5b9qPGIiIiIiIiIiIiIiIiIiOjTp5UkeZUqVaS/HR0dAQDx8fEfNeaoUaPw/Plz6XXv3r2PGo+IiIiIiIiIiIiIiIiIiD59Wplu3cDAQPpboVAAAJRKJQBAT09P4zb67Ozs945pZGQEIyOj994OERERERERERERERERERH9e2jlTvL82NnZ4dGjR2pl58+fl6cxRERERERERERERERERET0ryZ7krxx48Y4ffo0Vq1ahZs3byI0NBSXL1+Wu1lERERERERERERERERERPQvJHuSvFmzZhg7dixGjhyJmjVr4uXLl+jRo4fczSIiIiIiIiIiIiIiIiIion+hD/JM8uDgYAQHB2uU+/v7azxv3MfHR6MsLCwMYWFhH6IpREREREREREREREREREREeZL9TnIiIiIiIiIiIiIiIiIiIiJtYZKciIiIiIiIiIiIiIiIiIh0BpPkRERERERERERERERERERUoLi4OCgUCpw/f17upryXD/JMciIiIiIiIiIiIiIiIiLSDT6Lv9BarPN9t73Tevfu3UNoaCh27dqFhIQEODo6ol27dhg3bhxKlCjxgVtZeFFRUWjQoAGaN2+O7du3qy2Li4tDhQoVcO7cOfj4+OS6vr+/Pw4dOgQAMDQ0hK2tLXx9fRESEoIvv/zyYzcfZcuWxaNHj2Bra/vRY72pMPumKHgnORERERERERERERERERH9a9y+fRs1atTAzZs38fvvv+PWrVtYvHgx9u/fj7p16yIxMVG2ti1btgwDBw7E4cOH8fDhw3faxjfffINHjx4hJiYGmzZtgqenJwIDA9GnT58P3FpN+vr6cHBwQLFi/+x7sZkkJyIiIiIiIiIiIiIiov9r797jqqjzP46/D5CgIOAFRRFEVAhDRdby1qZ4STNNXc1yLSWyVm1b1602tVXJNNLNdM3NrCXRMlO7mGmWSVFImmmoXYi8kTcMJYXwrszvD5fz8yyWKDCDzOv5ePCQc86ceX/mnJnvGc+HmQGqjIceekjVqlXT2rVr1blzZ4WEhOi2227TunXrdODAAT3xxBPOaUNDQ/XUU09pyJAh8vb2VlBQkP7973+7zO/YsWMaMWKEAgIC5Ovrq65du2rbtm3OxxMSEhQdHa1XX31VoaGh8vPz0913361ffvnFZT6FhYVaunSpRo0apdtvv13JyclXtXw1atRQYGCgGjVqpPbt22v69OmaP3++Xn75Za1bt8453ddff62uXbuqevXqqlOnjh588EEVFhY6H4+Li1P//v319NNPq379+vL399eUKVN07tw5PfbYY6pdu7YaNWqkBQsWOJ/zv6dbT01NlcPhUEpKitq2basaNWqoY8eOysrKcj5n165d6tevn+rXry8fHx/deOONLnUWvw9PP/204uPjVbNmTYWEhOill15yPt6kSRNJUps2beRwONSlS5ereu2K0SQHAAAAAAAAAAAAUCX8/PPP+vDDDzV69GhVr17d5bHAwEANHTpUS5culWEYzvv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      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "create_comparison_heatmap(claude_convo_times, oai_convo_times, 2024)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
